Abstract: Various embodiments include methods for determining a resource configuration of a cloud service system using a system simulation tool with a model library. This may include: obtaining a model required for each service; obtaining a resource limit setting of each required model; creating a service workflow among the models to obtain a system simulation model, indicating the interaction workflow among the models and the sequence of model execution in a single service; using training data to train a service performance model of each service, wherein the training data comprises test data collected from the cloud service system in a testing environment, and the service performance model defines a resource consumption of a single request running on a service in the system simulation model; performing system simulation with a given resource configuration set and the resource limit settings, to obtain a system performance KPI; and determining a resource configuration with the best KPI.

Abstract: A field data transmission method comprises: a cloud platform determining at least one first device operation index be obtained via data analysis. For each first device operation index, the cloud platform generates control information for the first device operation index. The control information is used to determine a primary edge controller from among at least one edge controller, wherein the primary edge controller is used to send first field data to the cloud platform, the first field data is used for data analysis by the cloud platform to obtain the first device operation index, and the first field data is obtained by the primary edge controller preprocessing second field data. The cloud platform sends each piece of control information to each edge controller, respectively. The cloud platform receives first field data from each primary edge controller, respectively.

Abstract: Various embodiments include methods for determining a resource configuration of a cloud service system using a system simulation tool with a model library. This may include: obtaining a model required for each service; obtaining a resource limit setting of each required model; creating a service workflow among the models to obtain a system simulation model, indicating the interaction workflow among the models and the sequence of model execution in a single service; using training data to train a service performance model of each service, wherein the training data comprises test data collected from the cloud service system in a testing environment, and the service performance model defines a resource consumption of a single request running on a service in the system simulation model; performing system simulation with a given resource configuration set and the resource limit settings, to obtain a system performance KPI; and determining a resource configuration with the best KPI.

Abstract: Various embodiments include a method for deploying field device into an Internet of Things (IoT). The method may include: acquiring information from a field device using an edge device; transmitting the acquired information to a cloud platform; wherein the information comprises data and an industrial IoT model; converting the industrial IoT model into a graph; performing similarity analysis based on the graph; classifying the industrial IoT model based on the similarity analysis; generating a first industrial IoT model comprising a type or an example; performing data mapping on the first industrial IoT model; and operating the field device as part of the IoT.

Abstract: Various embodiments of the teachings herein include a method for generating a virtual Internet-of-things device on the basis of an Internet-of-things model. The method may include: obtaining a first number of Internet-of-things models for an Internet-of-things solution; subjecting a variable in the first number of Internet-of-things models to variable attribute expansion to add an extended variable attribute to the variable, wherein the variable subjected to variable attribute expansion is capable of data simulation; configuring variable link relations and variable link processing rules for the extended Internet-of-things models to obtain an Internet-of-things model configuration file; and obtaining a second number of virtual Internet-of-things devices on the basis of a virtual physical network device architecture by using the Internet-of-things model configuration file.

Abstract: Various embodiments described herein include an application program development and deployment method comprising: acquiring, from a code template library, a first code template matching a code structure of an application program to be developed; creating a template instance based on the first code template; filling a custom code input by a developer into the template instance to obtain a source program code matching said application program; compiling the source program code to obtain a target program code; acquiring a target operating environment mirror matching the target program code from an environment mirror library, wherein at least one operating environment mirror is stored in the environment mirror library, and different operating environment mirrors correspond to different operating environments; and deploying the target program code and the target operating environment mirror onto a target cloud platform.

Abstract: The present disclosure provides a language model based writing aid method, apparatus and system. The method includes: a server acquiring original text, where the original text may be writing text already generated and/or user input text; the server inputting the original text into a language model to generate a preset number of pieces of writing text, where the writing text and the original text have a correlation; the server sending the preset number of pieces of writing text to a frontend interface. The method of the present disclosure enables a computer to aide a user in text creating so that intelligence for writing aid is improved.

Abstract: The present disclosure relates to a method for configuring a priority level, a cloud platform, a system, a computing device, and a medium. The method for configuring a priority level for data on a cloud platform comprises determining the data type of received data; determining, according to the data type, a priority level specification used for describing a priority level of the received data; and calculating the priority level of the received data on the basis of the priority level specification of the received data.

Abstract: A field data transmission method comprises: a cloud platform determining at least one first device operation index be obtained via data analysis. For each first device operation index, the cloud platform generates control information for the first device operation index. The control information is used to determine a primary edge controller from among at least one edge controller, wherein the primary edge controller is used to send first field data to the cloud platform, the first field data is used for data analysis by the cloud platform to obtain the first device operation index, and the first field data is obtained by the primary edge controller preprocessing second field data. The cloud platform sends each piece of control information to each edge controller, respectively. The cloud platform receives first field data from each primary edge controller, respectively.

Abstract: Among others, the present invention provides apparatus for detecting a disease, comprising a system delivery biological subject and a probing and detecting device, wherein the probing and detecting device includes a first micro-device and a first substrate supporting the first micro-device, the first micro-device contacts a biologic material to be detected and is capable of measuring at the microscopic level an electric, magnetic, electromagnetic, thermal, optical, acoustical, biological, chemical, physical, or mechanical property of the biologic material.

Abstract: Among others, the present invention provides apparatus for detecting a disease, comprising a system delivery biological subject and a probing and detecting device, wherein the probing and detecting device includes a first micro-device and a first substrate supporting the first micro-device, the first micro-device contacts a biologic material to be detected and is capable of measuring at the microscopic level an electric, magnetic, electromagnetic, thermal, optical, acoustical, biological, chemical, physical, or mechanical property of the biologic material.

Abstract: Embodiments provide a data transmission method and apparatus. The method includes: after obtaining information of a target input port of a data receiving device and information of a target protocol used by a target Internet of Things device connected to the target input port, the data receiving device determines the target input port and the target protocol, and decapsulates, according to the target protocol, a first data packet transmitted by the target Internet of Things device via means of the target input port to obtain data. The data receiving device can adaptively determine a target protocol according to the information of the target protocol used by the target Internet of Things device, without configuring the target protocol for the target Internet of Things device in advance.

Abstract: The present invention is generally directed to a method for diagnosis, prognosis, or treatment of a cancer, by detecting or upregulating lncRNA, LINC00472. Particularly, LINC00472 is associated with the prognosis of ER-positive breast cancer and is involved in the interplay between ER? and NF-?B.

Abstract: Embodiments disclose a method, apparatus and a computer readable storage medium for providing cloud platform virtual assets. The method includes: generating virtual asset configuration information and a virtual asset model, and sending the virtual asset configuration information and the virtual asset model to a cloud platform; obtaining asset measurement data of a real device and obtaining asset simulation data from a simulation side of the real device, and filtering the asset measurement data and the asset simulation data based on the virtual asset configuration information provided by the cloud platform and sending the filtered data to the cloud platform; providing the virtual asset model and the filtered data from the cloud platform. The embodiments relate virtual digital world to the real physical world and seamlessly integrate the simulation data with the measurement data.

Abstract: An application configuration method includes: obtaining a resource recommendation prompt from a repository according to a user customized demand of an industrial Internet of Things solution, invoking a resource from a knowledge base or the repository to generate an industrial Internet of Things model, and matching an application installed at an industrial cloud and at an edge device end with a configuration needed by the application; and generating the industrial Internet of Things solution and deploying the matched application to the industrial cloud and the edge device end.

Abstract: Disclosed are a non-to-the-home type device and method for detecting electric meter misconnection based on the PLC communication technology and using multiple frequencies. The detection device includes a master detection device and a slave detection device. The master detection device acquires address information of different electric meters at the outlet terminals of the electric meters by using RS485 communication. The modulation circuit modulates the communication address information of different electric meters into high-frequency carrier signals of different frequencies, and sends the high-frequency carrier signals to user sides by using the PLC communication technology. A line trap is provided between the modulation circuit and the electric meters. The slave detection device has a high-frequency carrier signal detection antenna.

Abstract: Disclosed are a non-to-the-home type device and method for detecting electric meter misconnection based on the PLC communication technology and using multiple frequencies. The detection device includes a master detection device and a slave detection device. The master detection device acquires address information of different electric meters at the outlet terminals of the electric meters by using RS485 communication. The modulation circuit modulates the communication address information of different electric meters into high-frequency carrier signals of different frequencies, and sends the high-frequency carrier signals to user sides by using the PLC communication technology. A line trap is provided between the modulation circuit and the electric meters. The slave detection device has a high-frequency carrier signal detection antenna.

Abstract: A method, device system for forming a fusion model, a medium, a processor and a terminal are disclosed. An embodiment of the method forms a fusion model of fused data and applications and includes: displaying a data element among data elements of a data acquisition model in a first part of a first interface, the data acquisition model being usable to acquire data, and the data element characterizing data attributes; displaying the data model retrieved from a database according to the requirements of the application in a second part of the first interface; and in a third part of the first interface, establishing a correlation between the data element and the data model to form a fusion model. An embodiment of the method forms a fusion model by establishing a corresponding operation, and input-output relationships between the data elements of the data acquisition model and the data model.

Abstract: In the field of industrial automation, a method and device are for determining a data reading period for determining a data reading period of data in an industrial control system, and are capable of automatically configuring the data reading period to obtain a better configuration result. In embodiments of the present invention, an industrial control system in different states is simulated by using simulation software to obtain a simulation model and simulation data. Data features of the industrial control system in different states that is simulated can be extracted respectively, and a data reading period is determined according to the extracted data features. Automatic configuring of a data reading period is implemented.

Abstract: Embodiments disclose a method, apparatus and a computer readable storage medium for providing cloud platform virtual assets. The method includes: generating virtual asset configuration information and a virtual asset model, and sending the virtual asset configuration information and the virtual asset model to a cloud platform; obtaining asset measurement data of a real device and obtaining asset simulation data from a simulation side of the real device, and filtering the asset measurement data and the asset simulation data based on the virtual asset configuration information provided by the cloud platform and sending the filtered data to the cloud platform; providing the virtual asset model and the filtered data from the cloud platform. The embodiments relate virtual digital world to the real physical world and seamlessly integrate the simulation data with the measurement data.